The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy

The Influence of Artificial Intelligence (AI) Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05619614

Acronym

REVEAL

Enrollment

Registered

2022-11-17

Start date

2024-06-01

Completion date

2024-11-30

Last updated

2025-08-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colonic Neoplasms

Brief summary

In this study, the investigators aim to assess the influence of a computer-aided detection (CADe) system on the visual gaze patterns of endoscopists in order to further understand the effect of AI during real-time colonoscopy.

Interventions

DEVICEeye-tracking glasses

endoscopists wear eye-tracking glasses during real-time colonoscopy

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

Inclusion criteria

of patients: * Referred for diagnostic, screening or surveillance colonoscopy

Exclusion criteria

of patients: * Therapeutic procedure * Boston Bowel Prep Score (BBPS) score of \<6

Design outcomes

Primary

Measure	Time frame
Mean gaze time per area of influence	End of colonoscopy

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026